On the Performance of RIS-Aided CF-IoE-SWIPT Network Over Correlated Rician Fading Channels

This letter investigates the downlink simultaneous wireless information and power transfer in a reconfigurable intelligent surface (RIS)-aided Internet-of-Everything network relying on cell-free architecture. In our network, the access points beam the energy and information signals toward users by means of time-switching protocol. Based on the correlated Rician fading channels, we derive tight closed-form expressions for the downlink achievable harvested energy and rate under imperfect channel state information. Moreover, we propose a particle swarm optimization-based algorithm in terms of RIS phase shift to maximize the achievable harvested energy and rate. All theoretical analysis and the effectiveness of the proposed algorithm are verified via extensive simulations.